No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by sleep2agi · MCP Server · ★ 74
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agent-network safe to install? View the security audit →
Agent Network 本地优先的多 Agent 协作网络 —— 4 个 Runtime × 8 家 LLM 厂商,一行命令编排成一张 mesh。 Claude Code · Claude Agent SDK · Codex · Grok Build ACP 同台运行;agent 之间互派任务、流式协作、共享上下文,全部跑在你自己的硬件上。Apache 2.0 开源。 <a href="https://gi
| Stars | 74 |
| Forks | 9 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 62.2138177458196/100 |
| Open Issues | 194 |
| Last Updated | 2026-09-20 |
| Created | 2026-03-31 |
| Platforms | browser, claude-code, codex, mcp, node |
| Est. Tokens | ~18k |
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agent-network is 助力搭建你的数字 AI 员工军团 — 多 Agent 一行命令组网协作。Claude Code / Claude Agent SDK / Codex / Grok Build 4 runtime + 8+ 家 LLM(Anthropic / OpenAI / xAI / MiniMax / DeepSeek / GLM / Kimi / 书生 / 小米 MiMo),自带 Web Dashboard. It is categorized as a MCP Server with 74 GitHub stars.
agent-network is primarily written in TypeScript. It covers topics such as agent-network, ai-agents, anthropic.
You can find installation instructions and usage details in the agent-network GitHub repository at github.com/sleep2agi/agent-network. The project has 74 stars and 9 forks, indicating an active community.
agent-network is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to agent-network on Agent Skills Hub include OmoiOS, illusion-agent, chibi. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: